Evidence map›Paper›PMID 31277651›Full record

ArticleHealth research policy and systems2019

A biostatistical support system in health sciences: is this sustainable in a resource-restricted environment?

Elena Libhaber, Tobias Chirwa, Beverley Kramer

Abstract read
In one paragraph

Article in Health research policy and systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Elena LibhaberHealth Sciences Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. elena.libhaber@wits.ac.za.
Tobias ChirwaSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Beverley KramerSchool of Anatomical Sciences, Faculty of Health Sciences, Univerisity of the Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraining in biostatistics is important for strengthening capacity in health research. This is particularly true for Africa, where research output in the health sciences has been low. Training initiatives for the continent are therefore essential. The aim of the present study was to analyse the quality and financial sustainability of the expanded biostatistical support system at a South African health sciences institution between 2013 and 2017.

methodsA cross-sectional investigation of the initiatives created between the years 2013 and 2017 in the University of the Witwatersrand, Faculty of Health Sciences Research Office was undertaken. An assessment of the one-on-one consultations carried out by postgraduate students and staff, financial costs of the support system and the number of postgraduate student graduations were analysed.

resultsThe number of statistical consultations increased over the period examined. The consultations were highly recommended by the postgraduate students and staff (consulters). A clear rise in the number of Masters and PhD student graduates and an increase in research units were observed from 2013 to 2017, although these cannot be solely associated with the biostatistical support system. The finances for maintaining the support system are cost effective as the number of graduates increases. The total cost to the Research Office is US$ 225 per graduate per annum.

conclusionsThe expansion of the biostatistical support system has indirectly contributed to an increased number of graduates and research publication units in the institution. While the current finances support the system, any increases in enrolments or growth in diversification of biostatistical requirements may place a strain on the financial sustainability. This service is of value to developed and developing countries.

Indexed as

BiostatisticsCost-Benefit AnalysisCross-Sectional StudiesHealth OccupationsHumansResearchResource AllocationSouth AfricaUniversitiesbiostatistical support systemBiostatisticsfinancial sustainabilityresearch training

Identifiers

PMID31277651
PMCPMC6612072

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